Certificate in Language AI: High-Performance Techniques
-- ViewingNowThe Certificate in Language AI: High-Performance Techniques is a comprehensive course designed to empower learners with essential skills in the rapidly growing field of language AI. This certificate course highlights the importance of natural language processing, machine learning, and deep learning techniques in developing high-performance language AI systems.
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โข Unit 1: Introduction to Language AI โ Overview of Language AI, its applications, and potential. โข Unit 2: Natural Language Processing (NLP) โ Text preprocessing, tokenization, part-of-speech tagging, parsing, and sentiment analysis. โข Unit 3: Deep Learning Techniques for Language AI โ Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and Gated Recurrent Units (GRUs). โข Unit 4: Transfer Learning and Pre-trained Models โ BERT, ELMo, RoBERTa, and XLNet for Language AI. โข Unit 5: Text Generation and Summarization โ Sequence-to-sequence models, attention mechanisms, and text summarization techniques. โข Unit 6: Speech Recognition and Synthesis โ Hidden Markov Models (HMMs), Deep Neural Networks (DNNs), and WaveNet for speech processing. โข Unit 7: Machine Translation โ Statistical Machine Translation (SMT), Neural Machine Translation (NMT), and sequence-to-sequence models. โข Unit 8: Ethical Considerations and Bias in Language AI โ Evaluating and mitigating ethical concerns and biases in Language AI.
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